Scheduled maintenance: 8-10 am ACT/NSW each Wednesday. Expect shutdowns and restarts.

Contact us: data at auscover.org.au  |  Disclaimer: Please read
Product pages » Enhanced Vegetation Index (EVI) and Land Surface Temperature (LST) - MODIS, spatially and temporally interpolated, Australia coverage

Enhanced Vegetation Index (EVI) and Land Surface Temperature (LST) - MODIS, spatially and temporally interpolated, Australia coverage

Last modified by Matt Paget on 2016/06/29 01:04

Enhanced Vegetation Index (EVI) and Land Surface Temperature (LST) - MODIS, spatially and temporally interpolated, Australia coverage

EVI_LST_day_rasterplot.png

Figure 1: LST day and EVI images from NetCDF file for 1-Jan-2014 over Australia and New Zealand

Link to the data

DescriptorData link
Persistent URLhttp://www.auscover.org.au/purl/modis-evi-lst-interpolated
GeoNetwork record
netCDFhttp://data.c3.uts.edu.au/thredds/catalog/auscover/EVI.LST.v01.austnz.500m.8days.terra.nc/catalog.html
GeoTIFF

Data licence and Access rights

ItemDetail
RightsCopyright 2014 UTS. Rights owned by the University of Technology Sydney (UTS). Rights licensed subject to Creative Commons Attribution (CC BY).
LicenceCreative Commons Attribution 3.0 License, http://creativecommons.org/licenses/by/3.0.
AccessThese data can be freely downloaded and used subject to the CC BY licence. Attribution and citation is required as described at http://www.auscover.org.au/citation. We ask that you send us citations and copies of publications arising from work that use these data.

Abstract or Summary

The enhanced vegetation index (EVI) was developed for improved vegetation monitoring with increased sensitivity to vegetation signal from high biomass regions by de-coupling of the canopy background signal and a reduction in atmosphere influences (Huete et al. 2002). Land Surface Temperature (LST) is a key variable for monitoring climatological processes and surface energy interactions at regional to global scales (Li et al. 2013). Simultaneous measurement of EVI and LST variables enables observation of changes in vegetation cover and surface temperature on a pixel-by-pixel, which in turn offers the potential for effective mapping of vegetation stress, surface characteristics, evapotranspiration and extraction of vegetation greenness-dryness domain.

MODIS Terra satellite provides 16-day composite EVI data (MOD13A1) at a spatial resolution of 500 m. MODIS LST data (MOD11A2) are delivered as 8-day composite with a spatial resolution of 1000 m. Here, the EVI data were temporally interpolated to generate an EVI layer for every 8-days. LST data were spatially resampled to create a LST layer with 500 m spatial resolution. Both these EVI and LST layers have been combined into a single netCDF file to give spatially and temporally consistent EVI and LST layers.

Spatial and Temporal extents

ItemDetail
Spatial resolution (metres)500 m
Spatial coverage (degrees)112 to 180 E, 10 to 48 S
Temporal resolution8 day
Temporal coverage2000-03-05 to ongoing
Sensor & platformMODIS Terra
ItemDetail
Spatial representation typegrid
Spatial reference systemWGS 84

Point of contact

ItemDetail
NameProf. Alfredo Huete
OrganisationUniversity of Technology Sydney (UTS)
PositionProfessor
Emailalfredo.huete@uts.edu.au
RoleprincipleInvestigator
Address15 Broadway Road, Ultimo, NSW 2007, Australia
Telephone+61 2 9514 4084
URLwww.c3.uts.edu.au
ItemDetail
NameDr. Rakhesh Devadvas
OrganisationUniversity of Technology Sydney (UTS)
PositionData Manager in eResearch
Emailrakhesh.devadas@uts.edu.au
RolepointOfContact
Address15 Broadway Road, Ultimo, NSW 2007, Australia
Telephone+61 2 9524 8351
URLwww.c3.uts.edu.au

Credit [optional]

Keywords

ThesauriKeyword
GCMDEARTH SCIENCE > BIOSPHERE > VEGETATION > VEGETATION INDEX
GCMDEARTH SCIENCE > LAND SURFACE > LAND TEMPERATURE > LAND SURFACE TEMPERATURE
CFvegetation_index
CFsurface_temperature_where_land
FoREnvironmental Sciences > Ecological Applications = 0501

There are three main thesauri that AusCover recommends:

  1. Global Change Master Directory (http://gcmd.nasa.gov)
  2. Climate and Forecast (CF) convention standard names (http://cfconventions.org/standard-names.html).
  3. Fields of Research codes (http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E?opendocument).

Data quality

LPDAAC are responsible for the actual data quality and provide quality channels as part of most products.  These channels are processed the same as the data channels.  The mosaicing, remapping and reformatting processes do not alter either the data or the quality fields.

Quality assessment of the LPDAAC MODIS products is undertaken by the MODIS Land Data Discipline Team, http://landweb.nascom.nasa.gov.

Data set specific link(s) for MOD13A1 and MYD11A2 products are:

Users should be aware that not all tiles for a particular mosaic necessarily become available from the LPDAAC on the same day.  It is therefore possible that the most recent mosaic for any given product will be updated over several days, each time containing progressively more actual data within the same (standard) geographic extent.

We have had some minor issues with file corruption that have been detected by users unable to un-gzip the mosaic files.  If you discover any such files, please report them to us (see contacts section).

Flags used for MOD13A1 datasets are as below:

FlagsBit Combination (accepted range)
MODLAND_QA <10
VI usefulness<1100
Mixed Clouds>0
Land/Water Flag001,011,100 and 101
Possible snow/ice<1
Possible shadow<1

Flags used for MOD11A2 datasets are as below:

FlagsBit Combination (accepted range)
Mandatory QA <10
Data Quality<10
Emis Error<11
LST Error<11

Validation status

Quality assessment of the LPDAAC MODIS products is undertaken by the MODIS Land Data Discipline Team, http://landweb.nascom.nasa.gov.Data set specific link(s) for MOD13A1 and MYD11A2 products are:

Related products

ItemProduct link
MODIS Disturbance IndexDisturbance Index - MODIS, UTS algorithm, Australia coverage
LPDAAC EVINormalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) - MODIS, LPDAAC MOD13Q1 mosaic, Australia coverage
LPDAAC LSTLand Surface Temperature and Emissivity - MODIS, LPDAAC MxD11 mosaic, Australia coverage

References

ItemDetail or link
Publication
Validation report
Online info
References

Huete, A. et al., 2002. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment, 83(1–2), pp.195–213. Available at: http://www.sciencedirect.com/science/article/pii/S0034425702000962.

Fensholt, R. & Proud, S.R., 2012. Evaluation of Earth Observation based global long term vegetation trends — Comparing GIMMS and MODIS global NDVI time series. Remote Sensing of Environment, 119, pp.131–147. Available at: http://linkinghub.elsevier.com/retrieve/pii/S003442571200003X [Accessed March 5, 2012].

Algorithm summary

QA filtered 16-day EVI (500m) and 8-day LST (1000m) datasets covering Australia and New Zealand (19 tiles) were mosaiced and reprojected from sinusoidal to geographic projection to obtain single dataset in GeoTiff format.

EVI data were gap filled using a linear method involving five chronologically arranged datasets (Fensholt & Proud 2012). These gap filled EVI time-series data were further linearly interpolated to generate an EVI layer for every 8-days.

LST data, originally with 1000 m spatial resolution, were spatially resampled (bilinear algorithm) to create a LST layer with 500 m spatial resolutions. Thus, by temporal interpolation (EVI) and spatial resampling (LST) a new EVI and LST time-series data were generated with both datasets having a temporal resolution of 8-days and spatial resolution of 500m. Both EVI and LST layers were then combined as a single NetCDF file containing high quality, spatially and temporally consistent EVI and LST layers.

Detailed user guide and ATBD can be found as the attachment EVI_LST_PRODT_UG_ATBD_Web_v1.pdf.

Product version history

Version labelDetail
1.0Initial Release

Metadata history

DateDetail
2014-07-03Metadata creation date
Tags:
Created by Matt Paget on 2014/07/03 10:32

This wiki is licensed under a Creative Commons 2.0 license
XWiki Enterprise 4.5.3 - Documentation